Work

Memory-aware curriculum federated learning for breast cancer classification

Year: 2022

Type: article

Source: Computer Methods and Programs in Biomedicine

DOI: 10.1016/j.cmpb.2022.107318

Authors: Amelia Jiménez-Sánchez, Mickael Tardy, Miguel A. González Ballester, Diana Mateus, Gemma Piella

Institutions: Universitat Pompeu Fabra, IT University of Copenhagen, École Centrale de Nantes, Laboratoire des Sciences du Numérique de Nantes, Nantes Université, Institució Catalana de Recerca i Estudis Avançats

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nvidia, European Commission

Award: Innovative doctoral programme for talented early-stage researchers in Spanish host organisations excellent in the areas of Science, Technology, Engineering and Mathematics (STEM).

OpenAlex ID: W3182336762

FWCI: 7.695

Cites: 92

Cited by: 131

Related to: 10